Senior Fleet Software Engineer

The RoleYou'll build the software and infrastructure that lets a small team operate and monitor a growing fleet of deployed robots. The observability, alerting, and automation you build are what the team watches during a shift and what on-call responds to when something goes wrong. You'll contribute to the fleet's operational software end to end, from the telemetry we collect on every robot to the dashboards, pipelines, and tooling that act on it, and work closely with the operations and response teams so the fleet gets easier to run as it scales.What You'll DoObservability and telemetryBuild and own fleet observability: the metrics, logs, traces, and dashboards that give the team full visibility into live robotsDesign telemetry and data pipelines that reliably move robot data to the cloud for monitoring, debugging, and model trainingBuild fleet-health dashboards and reports that make performance and regressions easy to spotAlerting and automationBuild alerting and on-call tooling that catches issues fast and routes them to the right responder with the right contextAutomate diagnostics and incident capture so responders can start debugging instead of gathering dataAutomate manual, error-prone work and reduce operational toilDeployment and release infrastructureContribute to CI/CD pipelines that deliver code reliably from development to the fleetWork with software teams to automate over-the-air (OTA) software and firmware updates across the fleet, with staged rollout, monitoring, and rollbackBuild provisioning and configuration tooling to keep the fleet consistent and reproducibleRequired Qualifications3+ years of software engineering, with real ownership of internal tooling, infrastructure, or reliability systemsStrong proficiency in Python plus at least one systems language (Go, C++, or Rust)Experience building and operating CI/CD pipelines and deployment automationExperience with a major cloud (AWS or GCP), containers, and orchestration (Docker, Kubernetes)Solid distributed-systems fundamentals across data transport, monitoring, and fault toleranceAbility to debug across the full stack, from a device on the network to a service in the cloudPreferred QualificationsBackground in robotics, autonomous vehicles, or other latency- or safety-critical domainsExperience with observability stacks (e.g., Prometheus/Grafana, OpenTelemetry, Foxglove)Experience with OTA or fleet deployment and safe-rollout patterns such as staged rollout and auto-rollbackFamiliarity with ROS/ROS2, edge or embedded Linux, or low-latency data transport for real-time systemsExperience building tooling for an operations, on-call, or field team